Package index • multimput

All functions

aggregate_impute(): Aggregate an imputed dataset

aggregatedImputed-class: The aggregatedImputed class Holds an aggregated imputation data set

generate_data(): Generate simulated data

hurdle_impute(): Combine two models into a hurdle model

impute(): Impute a dataset

maybeInla-class: The maybeInla class

missing_at_random(): Generate missing data at random

missing_current_count(): Generate missing data depending on the counts

missing_observed(): Generate missing data based on the observed patterns in the real dataset.

missing_volunteer(): Generate missing data mimicking choices made by volunteers.

model_impute(): Model an imputed dataset

rawImputed-class: The rawImputed class Holds a dataset and imputed values

waterfowl: The observation pattern in the Flemish waterfowl dataset